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@@ -8,6 +8,7 @@ datasets:
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  - jnlpba
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  - conll2012
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  - BTC
 
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  tags:
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  - PyTorch
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  model-index:
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  name: few-shot-ner-on-few-nerd-inter
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  type: named-entity-recognition
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  dataset:
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- name: few-nerd (INTER)
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  type: named-entity-recognition
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  metrics:
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  - name: 5 way 1~2 shot
@@ -32,6 +33,7 @@ Model was trained by _SberIDP_. The pretraining process and technical details ar
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  * Task: `NER`
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  * Training Data is 5 datasets: [CoNLL-2003](https://aclanthology.org/W03-0419.pdf), [WNUT17](http://noisy-text.github.io/2017/emerging-rare-entities.html), [JNLPBA](http://www.geniaproject.org/shared-tasks/bionlp-jnlpba-shared-task-2004), [CoNLL-2012 (OntoNotes)](https://aclanthology.org/W12-4501.pdf), [BTC](https://www.derczynski.com/papers/btc.pdf)
 
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  - jnlpba
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  - conll2012
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  - BTC
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+ - dfki-nlp/few-nerd
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  tags:
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  - PyTorch
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  model-index:
 
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  name: few-shot-ner-on-few-nerd-inter
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  type: named-entity-recognition
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  dataset:
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+ name: Few-NERD (INTER)
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  type: named-entity-recognition
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  metrics:
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  - name: 5 way 1~2 shot
 
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  * Task: `NER`
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  * Training Data is 5 datasets: [CoNLL-2003](https://aclanthology.org/W03-0419.pdf), [WNUT17](http://noisy-text.github.io/2017/emerging-rare-entities.html), [JNLPBA](http://www.geniaproject.org/shared-tasks/bionlp-jnlpba-shared-task-2004), [CoNLL-2012 (OntoNotes)](https://aclanthology.org/W12-4501.pdf), [BTC](https://www.derczynski.com/papers/btc.pdf)
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+ * Testing was made in Few-Shot scenario on [Few-NERD dataset](https://github.com/thunlp/Few-NERD)
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